"Thinking in AI" is about adopting a mindset that uses fundamental truths about AI as a structured mental framework.
Instead of immediately jumping to technical details or complex solutions, you first identify your problem, look at the fundamental truths (perception, learning from data, recognising patterns, adaptability), and select the easiest one to tackle first. Addressing one fundamental truth naturally guides you toward the others, creating a logical flow toward solving your initial problem. This approach helps bridge the gap between the abstract potential of AI and practical, actionable use cases.